Complexity is a constant challenge in almost every business. Being able to understand and manage complex systems is therefore an important capability for successful organizations.
Dependency and Structure Modeling (DSM), also known as Design Structure Matrix, is a method used to analyze and manage such complexity. It helps to model, visualize, and understand the dependencies between elements within a system, and supports identifying potential improvements or restructuring options.
These systems can take many forms, for example product architectures, engineering processes, organizational structures, or even market systems. In all of these cases, looking at the relationships between elements is key to understanding how the system works as a whole.
(DSM is also referred to by different names, such as Dependency Structure Matrix or Design Structure Matrix. Some older terms exist as well, but they are less commonly used today.)
As an analysis tool, DSM provides a compact and structured representation of complex systems and their internal relationships. It can be used to capture interactions, dependencies, and interfaces between components, tasks, or organizational units. Today, DSM is often supported by digital tools that make visualization, data handling, and large scale analysis much easier. In many cases, it is also combined with automated evaluation methods and data-driven approaches, which increases its value in more dynamic and information rich environments.
As a management tool, DSM is widely applied in project and process management, especially in situations where feedback loops and iterative dependencies are present. This is particularly relevant in engineering and product development, where tasks rarely follow a purely linear order. DSM can therefore support more realistic planning, better coordination, and improved scheduling of development activities.
In current practice, DSM is often used together with approaches from modern systems engineering, especially Model-Based Systems Engineering (MBSE), to support the development of more integrated and transparent system architectures. It is also increasingly relevant in areas such as product platforms and digital twins, where managing interdependencies across technical systems, data, and processes has become even more important. This is extremely important since most engineering applications exhibit such a cyclic property. As such, this representation often results in an improved and more realistic execution schedule for the corresponding design activities.
The Dependency and Structure Modeling (DSM) Web 